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Purpose: An association between frailty and vascular brain damage (VBD) has been described in older adults. However, most studies have identified frailty according to the phenotypic model. It is less clear whether frailty, operationalized as an accumulation of health deficits, is associated with the presence and severity of VBD. The present study was therefore undertaken to verify whether a 50-item frailty index (FI) is related to VBD in a large and relatively unselected cohort of attendees of a memory clinic., Materials and Methods: The TREDEM (Treviso Dementia) registry includes retrospective observational data of 1584 participants. A modified FI was calculated from 50 variables comprising diseases, disability, behavioral disorders, and blood biochemistry. The presence and severity of VBD, including leukoaraiosis, lacunes, larger infarctions and the hierarchical vascular rating scale (HVRS), were determined based on brain computerized tomography imaging. Multiple logistic regression models were built according to the stepwise method., Results: Mean age of the 1584 participants was 79.6 ± 7.5 years and 1033 (65.2 %) were females. The average number of health deficits was 11.6 ± 6.2, corresponding to an FI of 0.23 ± 0.12 (range: 0.00-0.56). Each 0.01-point increase in the FI was associated with an increased probability of leukoaraiosis (+2.3 %) and severe leukoaraiosis (+5 %), lacunas in the basal ganglia (+1.73 %), occipital lobes (+2.7 %), parietal lobes (+3 %), frontal lobes (+3.6 %), temporal lobes (+4.2 %), and thalamus (+4.4 %). Moreover, an increase of 0.01 points in the FI was associated with a 3.1 % increase in the probability of HVRS score (≥2)., Conclusion: An FI based on routine clinical and laboratory variables was associated with the presence, degree, and some localizations of VBD in a population of older adults with cognitive decline. This frailty assessment tool may therefore be used to identify individuals at risk of developing cerebrovascular disease and, consequently, to implement strategies for vascular risk factor control., Competing Interests: Declaration of competing interest None., (Copyright © 2022 Elsevier Inc. All rights reserved.)

We present the case of a patient with an atypical course of frontotemporal lobar degeneration (FTLD) complicated by the use of an anticholinergic drug. A 70-year-old patient, followed by psychiatrists for depression and behavioral disorders, received a diagnosis of dementia with Lewy bodies (DLB) at another Center due to auditory hallucinations, gait impairment, and tendency to fall. He was then admitted to our Memory Clinic Unit for behavioral disturbances, such as delusional thinking, auditory hallucinations, and memory complaints. At that time, the patient's therapy included Lorazepam, Quetiapine, Promazine, and Biperiden. The latter was immediately suspended for the absence of extrapyramidal signs and to avoid the anticholinergic cognitive side effects. A 18F-FDG PET showed a derangement of cortical metabolism with diffusely reduced activity, and limited areas of hyperactivity involving lateral frontal and lateral temporal inferior regions bilaterally. The patient underwent a series of exams, including neuropsychological tests, 123I-MIBG scintigraphy, cerebrospinal fluid examination, and genetic analysis. A second 18F-FDG PET showed an extensive remodulation of metabolic activity: relative higher concentration of the tracer in the prefrontal and inferior temporal cortex was no more detectable. Similarly, the diffuse reduced metabolic activity could not be traced anymore. Nonetheless, the metabolic activity still appeared reduced in the frontal lobe, in the anterior cingulate bilaterally, and in the anterior part of the hemispheric fissure. Taken together, clinical and neuroimaging features would point to a FTLD-like form. Furthermore, the diagnostic work-up was likely confounded by the anticholinergic drug on 18F-FDG PET, highlighting the importance of carefully checking the patient's pharmacology during the diagnostic process. [ABSTRACT FROM AUTHOR]

Background: Frailty is a condition which is characterized by a reduction in the homeostatic reserves of the individual and which entails an increased vulnerability to stressful endogenous and exogenous agents. The Frailty Index (FI), proposed by Rockwood, was designed following an accumulation of deficits model: the greater the number of deficits in a given individual, the greater the degree of frailty.Objective: The aim of this study was to verify the existence of associations between FI and cerebral atrophy.Methods: The TREDEM Register (Treviso Dementia) provided retrospective observational data from 1,584 patients. The FI was calculated based on 50 variables comprising diseases, disability, behavioral disturbances, and blood chemistry parameters. The severity of atrophy in the cortical and subcortical regions, such as the amplitude of the lateral ventricles, were detected by computerized axial tomography (CAT). Multiple logistic regression models using the stepwise backward method were used to analyze possible associations between FI and atrophy.Results: For each increment of one hundredth of the FI, the probability of cortical atrophy increases by 2%. The female gender is a protective factor for cortical and subcortical atrophy. At each increase of one percent of the FI, the probability of a severe degree of cortical atrophy increases by 3%. The FI was significantly associated with frontal and temporal cortical atrophy. The relationship between overall subcortical atrophy and the FI was not significant, whereas it was the one with the severe degree of subcortical atrophy. The FI is significantly associated with the atrophy of the peri-insular subcortical region. Similar associations were found considering only demented patients.Conclusion: The FI is associated with the presence, degree, and some localization of cerebral atrophy in a population of cognitive-decline patients. [ABSTRACT FROM AUTHOR]

Background: The Multidimensional Prognostic Index (MPI) based on a comprehensive geriatric assessment has been developed to predict mortality in hospitalized elderly patients. The Treviso Dementia (TREDEM) Study is an observational prospective cohort study of 1,364 outpatients evaluated at the Cognitive Impairment Center in Treviso, Italy from 2000 to January 2010. Objective: To use the MPI in the TREDEM outpatient setting to assess the correlation of MPI with mortality and hospitalizations for acute cases that occurred after the date of assessment. Methods: MPI was consecutively applied to the last 340 of 1,364 outpatients who were evaluated at the Center from 2008 to January 2010, after the first publication of MPI index in 2008. Participants' mortality was verified by linking the cohort with Registries of Municipalities, National Register of Revenue Authorities, and Nominal Register of Causes of Death. Data about hospitalizations for acute cases that occurred within 12 months after the date of assessment were obtained from all Italian hospitals. A Cox regression method was used to investigate the effect of MPI upon mortality and hospitalizations, also considering confounder factors such as age and gender. Results: 114 men and 226 women, aged 52.1-99 years (mean age 80.4 years), were studied and had an MPI mean of 0.41. On 15 February 2013, 100 were deceased, and average hospitalizations for acute cases were 0.3, days 3.8. For MPI scores between 0 and 1, the increase in the probability of death was more than nine times (odds: 9.53 p = 0.0002) and of hospitalization was more than six times (odds: 6.50, p = 0.0079). Conclusion: MPI discloses the risk of death and of hospitalizations for acute cases in outpatients affected by cognitive impairment. [ABSTRACT FROM AUTHOR]

Background: The role of folate and homocysteine in brain atrophy associated with Alzheimer's disease is not completely understood. Objective: The aim of this study was to investigate the relationships between serum folate and homocysteine levels and the degree of cortical-subcortical and hippocampal atrophy in a first relatively preliminary sample of the Treviso Dementia (TREDEM) study using a potent data mining method. Methods: Physiological data, biochemical parameters, clinical assessment data, brain atrophy severity assessed with CT scans, and neuropsycological and disability data were assessed in a group of 232 outpatients (93 men and 139 women, aged 40.2-100 years) enrolled in the TREDEM study carried out in Treviso (Italy). A semantic connectivity map obtained through the Auto-CM system, a fourth generation artificial neural network (ANN), was used to offer some insight regarding the complex biological connections between the studied variables and the degree of brain atrophy. Results: Close associations between low serum folate levels and severe cortical-subcortical atrophy along with severe hippocampal atrophy measured by the width of the temporal horns of lateral ventricles were found. We also showed an association between high homocysteine levels and severe cortical-subcortical and hippocampal atrophy. Conclusion: The role of folate, which is inversely associated with the severity of brain atrophy, was confirmed. Our results also confirm the association between high homocysteine levels and severe cortical-subcortical and hippocampal atrophy. Auto-CM ANN is able to highlight associations sometimes visible only in longitudinal studies through intelligent data mining of a cross-sectional study. [ABSTRACT FROM AUTHOR]